Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
PSKY2004		Techniques in Advanced Data Analysis	3/0/0	DE	Turkish	7

Course Goals	The aim of this course is to study the topics of descriptive and inferential statistics. Parametric and non-parametric tests will be analyzed with the SPSS (‘Statistical Packgages for Social Sciences’) applications. In addition, probability and hypothesis-testing will be studied.
Prerequisite(s)	none
Corequisite(s)	none
Special Requisite(s)	none
Instructor(s)	Lecturer Neslihan Ercan
Course Assistant(s)
Schedule	Day, hours, XXX Campus, classroom number.
Office Hour(s)	Instructor name, day, hours, XXX Campus, office number.
Teaching Methods and Techniques	-Lecture -Project -Presentation -Discussion -Homework
Principle Sources	-Statistics for the Behavioral Sciences (yazarlar: F. J. Gravetter ve L. B. Wallnau) -Other reading will be given by the course coordinator.
Other Sources	-

Course Schedules
Week	Contents	Learning Methods
1. Week	Introduction to statistics, frequency, central tendency and variability.	Lecture
2. Week	Introduction to statistics, frequency, central tendency and variability.	Lecture
3. Week	z-scores, standard propagation, probability	Lecture
4. Week	z-scores, standard propagation, probability	Lecture
5. Week	Testing hyptohesis	Lecture
6. Week	Testing hyptohesis	Lecture
7. Week	MIDTERM
8. Week	t-test, ANOVA	Lecture
9. Week	t-test, ANOVA	Lecture
10. Week	regression, correlation	Lecture
11. Week	regression, correlation	Lecture
12. Week	non-parametrical tests (chi-square, kruskal wallis, etc.)	Lecture
13. Week	non-parametrical tests (chi-square, kruskal wallis, etc.)	Lecture
14. Week	Presentation of term project and homework submission	Presentation, discussion
15. Week	FINAL EXAMINATION
16. Week	FINAL EXAMINATION
17. Week	FINAL EXAMINATION

Assessments
Evaluation tools	Quantity	Weight(%)
Midterm(s)	1	25
Project(s)	1	25
Attendance / Participation	1	10
Final Exam	1	40

Program Outcomes PO-1 Applying advanced theoretical and practical knowledge about human in professional life and developing original ideas about field. PO-2 Having interdiciplinary knowledge of understanding human in professional life and assessing applications about the issue. PO-3 Comprehending interaction styles in working environment and dynamics about conflict management as a social system and having sensitivity about these issues. PO-4 Having theoretical knowledge and abilities that reduce the quality of working environment. PO-5 Developing conscious of management ethics. PO-6 Comprehending particular management applications in professional life and its effects on human beings. PO-7 Having ability to develop research models, collecting and analyzing data in professional life. PO-8 Developing ability to develop new applied models and criticize ongoing models. PO-9 Offering subsystems about human resources management by using theoretical knowledge of industrial and management psychology. PO-10 Having insight about effects of human psychology on professional life.

Learning Outcomes LO-1 Defining fundamental issues and concepts of statistics (Information) LO-2 Learning statistichal research methods (Comprehension) LO-3 Applications over SPSS (application) LO-4 Applying statistichal analysis (Analysis) LO-5 Designing an applied research by gathering fundamental concepts of psychology and preparing a term project with statistichal analysis (Synthesis) LO-6 Making assesments after statistichal analysis within the scope of term project (Evaluation)

Course Assessment Matrix:

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6